New York University's MS in Data Analytics & Business Computing is a full-time graduate program lasting 12 or 20 months, designed to build advanced skills in data analytics and business computing. It combines coursework in statistics, computer science, and business management, giving students powerful data analysis capabilities and applying them to business decisions. Graduates can pursue careers in finance, consulting, tech, retail, and other industries as data-driven decision-making professionals. Overall, this NYU program is well-suited for students interested in both data analytics and business. CheersYou（清柚教育） consultants have compiled key details about this program, including its introduction, application requirements, curriculum, and future career prospects. For in-depth understanding or other questions, scan the QR code below to connect with a consultant for a personalized consultation.
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1. Program Overview
The MS in Data Analytics & Business Computing is jointly offered by NYU Stern School of Business and NYU Shanghai, allowing students to study at both locations and experience different cultural and academic environments.
Official website: https://stern.shanghai.nyu.edu/en/program/ms-data-analytics-business-com...
The program offers two track options to accommodate different learning needs and career plans. Students can complete the program in 12 months at an accelerated pace or take 20 months for a more in-depth experience.
In the 12-month track, students finish all required courses and some electives in the first year, then complete the remaining courses in the spring semester of the second year. This intensive plan suits those who want to enter the workforce quickly, jumpstart their careers, and begin gaining work experience.
In the 20-month track, students complete most required and elective courses in the first year and then have the option to continue studying or participate in an internship during the spring of the second year. The longer duration provides more time to delve into areas of interest, build closer relationships with faculty, engage in campus activities, and gain valuable professional experience through an internship.
Both tracks have distinct advantages, and students can choose the most appropriate study plan based on their personal circumstances and career goals. Whichever track they choose, students will acquire a solid foundation in data analytics and business computing, laying a strong groundwork for their future careers.
2. Curriculum
The curriculum includes core courses in statistics, data analytics, machine learning, artificial intelligence, and optimization modeling, along with applied courses in data visualization, operations management, and marketing analytics. The summer term starts at NYU Stern, and subsequent coursework takes place at NYU Shanghai. Students also complete a capstone project, applying their knowledge to real-world cases.
3. Application Requirements
Applicants must demonstrate that they have met or plan to meet the prerequisite coursework before enrollment. Specifically, they must have successfully completed the following credits/courses (with a grade of "B" or better) prior to matriculation.
Prerequisite Courses:
Calculus 3
Courses must be taken at an accredited (or government-recognized) college or university; online courses are also accepted. Coursework/credits completed at a community college cannot be used to fulfill the prerequisite requirement.
Programming Proficiency
Students are expected to have beginner-to-intermediate-level proficiency in R. This is not a pre-admission requirement, but it is strongly recommended. Applicants without prior programming experience must submit a self-study plan with their application.
GMAT or GRE
GMAT or GRE scores are not mandatory, but submitting a competitive score from a test center is highly recommended.
IELTS or TOEFL
All applicants whose native language is not English or who have not earned a degree from an English-medium university must take either the TOEFL or IELTS. The minimum TOEFL score is 100 and the minimum IELTS score is 7.
Transcripts and Degrees
General Degree Requirement
Applicants must hold a four-year bachelor's degree from an accredited U.S. college or university, or an equivalent degree from a foreign institution (three-year degrees may be accepted in certain cases).
If you submit your application before earning your bachelor's degree or equivalent, we will accept and evaluate your application. This will not delay evaluation. If admitted, you must earn your degree before enrollment, no later than the fall semester start at Shanghai.
If you already hold a bachelor's degree or equivalent at the time of application, you must upload copies of all final transcripts and proof of degree conferral for each respective degree through the online application.
Official Transcripts for Enrollment
Admitted students must provide official copies of all transcripts and proof of degree conferral before matriculation. If the degree has been earned at the time of enrollment, a certified official copy of the degree certificate must be submitted. If the degree has not yet been awarded, only a certified official copy of the provisional degree certificate will be accepted as proof. Instructions will be provided at the time of enrollment.
Resume/CV
Please upload your most current resume, which should include educational and professional information, achievements, and contributions. If your employment status changes after applying, you must upload an updated resume via your application status page.
Work Experience
Post-undergraduate work experience is not a requirement for admission. To supplement the key career information on your resume, you will be prompted to add employment details for all positions using the "Add Position" feature. Include all full-time work experience since college. Academic work, internships, and other part-time work may also be included.
4. Career Prospects
Graduates of this program will be equipped to perform data analysis in areas such as finance, marketing, and operations—skills that are highly sought-after in today's data-driven business environment. Graduates may find positions as data analysts, business analysts, or data scientists at consulting firms, financial institutions, tech companies, market research firms, and more. As businesses increasingly rely on data, professionals with these skills have broad career prospects.
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